We are delighted to celebrate the full launch of RSpace Inventory, now available at no cost for Enterprise and Teams customers! Over the last two years we have worked hard to elevate Inventory’s capabilities and user-interface, and we could not be more excited to share our powerful, intuitive, and visually driven sample management system with you.
Of course, we will continue to improve and upgrade Inventory, and as we kick off 2023, “The Year of Meta Data” at RSpace, we have a lot happening behind the scenes on PIDs, DOIs, DataCite IGSNs, integrations including the new Fieldmark field data collection system, and more! Our goal is to continue to push the boundaries and bring you a cutting-edge sample management system that meets the needs of the Sample Collection and Open Science communities, while enhancing reproducibility and making research data FAIR-compliant and machine actionable.
The Inventory system is a key component in the overall RSpace Digital Research Platform. We will also continue developing the platform during 2023, for example with our new integration with Omero, and upcoming integrations with Argos and Zenodo.
We invite you to check out this short video which gives you a taste of the Inventory module and introduces some fundamental capabilities. Don’t forget to check out the RSpace Inventory Hub for more details and the latest changes!
November 28, 2022
We are announcing an integration with iRODS, a data discovery, workflow automation, secure collaboration, and data virtualization platform!Read more
November 15, 2022
RSpace is attending Supercomputing 2022 and presenting a poster on 'Building a Machine-Actionable Pipeline for Research Data' in collaboration with UCL ARC. We're also giving a presentation on the iRODS-RSpace integration and are available to chat during the event!Read more
October 4, 2022
Rory presented at an RDA session on tool interoperability in research as part of RDA's 19th Plenary, detailing how RSpace and Inventory aim to enable workflows supporting experimental reproducibility and comprehensive capture of sample data.Read more